Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge.

Journal: BMC medical informatics and decision making
Published Date: Dec 30, 2021

Abstract

OBJECTIVE: Relation extraction (RE) is a fundamental task of natural language processing, which always draws plenty of attention from researchers, especially RE at the document-level. We aim to explore an effective novel method for document-level medical relation extraction.

Authors

  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Ying Xiong
    Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
  • Xiaolong Wang
    Cardiovascular Department, Shuguang Hospital Affiliated to Shanghai University of TCM Shanghai, China.
  • Qingcai Chen
    Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China.
  • Buzhou Tang

Keywords

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